Microsoft
FastContext-1.0-4B-SFT is a open-weight Microsoft llm model with a 1,010,000 token context window.
Running this yourself: consumer gpu should be enough.
47.4
Quality Score
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Arena ELO
4B
Parameters
1M
Context
Use this section to answer one simple question first: how much outside evidence do we have that this model performs well? Structured benchmark scores appear first, then official provider evidence, then live arena signal.
This model has official provider benchmark evidence, but not a normalized independent benchmark table yet.
A full normalized benchmark row is not available for this model yet.
Official benchmark evidence is already available below, so this release is still being tracked while the normalized table catches up.
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4.4K
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Jun 2026
Released
These are recent benchmark or leaderboard claims from official provider sources. They are useful for freshness and context, but they are not treated the same as normalized independent benchmark rows.
microsoft/FastContext-1.0-4B-SFT · Hugging Face
Microsoft published benchmark or leaderboard evidence for FastContext-1.0-4B-SFT.
View sourcemicrosoft/FastContext-1.0-4B-SFT · Hugging Face
Microsoft published benchmark or leaderboard evidence for FastContext-1.0-4B-SFT.
View source